code: def test_get_parameters(self):
      cpds = [
          self.est3.estimate_cpd("A"),
          self.est3.estimate_cpd("B"),
          self.est3.estimate_cpd("C"),
      ]
      all_cpds = self.est3.get_parameters(n_jobs=1)
      self.assertListEqual(
          sorted(cpds, key=lambda t: t.variables[0]),
          sorted(all_cpds, key=lambda t: t.variables[0]),
      )
  
imports: import unittest
  import numpy
  import pandas
  from joblib.externals.loky import get_reusable_executor
  from pgmpy import config
  from pgmpy.estimators import BayesianEstimator
  from pgmpy.factors.discrete import TabularCPD
  from pgmpy.models import BayesianNetwork
label_desc: Use image node_id 6 for calling the TestBayesianEstimatorTorch obj's underlying member method code with example usage: obj.test_get_parameters() without return types